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I run AI FinOps, LLM Cost Optimisation & prompt tuning for teams using OpenAI/Anthropic/Bedrock/Vertex. Services: • AI Spend Audit (metadata-only, PII-safe) • Shadow AI / orphaned spend reconciliation (billing vs logs) • LLM gateway: routing, caching, budgets, rate limits, prompt tuning • Observability: trace-level cost attribution + anomaly detection DM “FINOPS” + your vendor mix + spend range.…I run AI FinOps, LLM Cost Optimisation & prompt tuning for teams using OpenAI/Anthropic/Bedrock/Vertex. Services: • AI Spend Audit (metadata-only, PII-safe) • Shadow AI / orphaned spend reconciliation (billing vs logs) • LLM gateway: routing, caching, budgets, rate limits, prompt tuning • Observability: trace-level cost attribution + anomaly detection DM “FINOPS” + your vendor mix + spend range.

Shubhankar Mittal

AI Engineer, AI Strategy Consultant, AI Prompt Engineer, +2

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I run AI FinOps, LLM Cost Optimisation & prompt tuning for teams using OpenAI/Anthropic/Bedrock/Vertex. Services: • AI Spend Audit (metadata-only, PII-safe) • Shadow AI / orphaned spend reconciliation (billing vs logs) • LLM gateway: routing, caching, budgets, rate limits, prompt tuning • Observability: trace-level cost attribution + anomaly detection DM “FINOPS” + your vendor mix + spend range.…I run AI FinOps, LLM Cost Optimisation & prompt tuning for teams using OpenAI/Anthropic/Bedrock/Vertex. Services: • AI Spend Audit (metadata-only, PII-safe) • Shadow AI / orphaned spend reconciliation (billing vs logs) • LLM gateway: routing, caching, budgets, rate limits, prompt tuning • Observability: trace-level cost attribution + anomaly detection DM “FINOPS” + your vendor mix + spend range.

Available to hire

Dehradun, India

I run AI FinOps, LLM Cost Optimisation & prompt tuning for teams using OpenAI/Anthropic/Bedrock/Vertex.

Services:
• AI Spend Audit (metadata-only, PII-safe)
• Shadow AI / orphaned spend reconciliation (billing vs logs)
• LLM gateway: routing, caching, budgets, rate limits, prompt tuning
• Observability: trace-level cost attribution + anomaly detection

DM “FINOPS” + your vendor mix + spend range.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Tech Lead, AI/ML Decision Workflows at Accenture Strategy & Consulting

December 1, 2024 - July 1, 2025

Designed and integrated LLM-driven backend services (Python, FastAPI) for BFSI workflow orchestration including intent classification, RAG-based retrieval, and rule-based validation. Architected an agent orchestration framework routing requests across specialized LLM agents using confidence thresholds, fallbacks, policy checks, and improved response reliability. Optimized asynchronous pipelines, retrieval logic, and prompt structure, achieving ~60% 95th percentile latency reduction and ~40% error reduction in pre-production evaluation. Established structured evaluation and logging pipelines across recurring internal test cycles to analyze model behavior and iteratively improve response consistency.

Manager, AI & Analytics at Deloitte

August 1, 2020 - October 1, 2024

Engineered Python-based analytics and risk mitigation frameworks used across multiple BFSI client engagements, automating compliance workflows and reducing quarterly analysis cycle time by ~20 days. Modeled scalable batch data-processing pipelines over 10M+ transactional records to support segmentation, forecasting, and ML-driven decision making in regulated environments. Led hands-on development and code reviews, improving data quality checks and reducing downstream rework by ~35%. Conducted tier-based vendor assessments for AI/GenAI platforms assessing capability, cost, security, and regulatory fit to guide technology selection.

Senior Data Scientist, Risk Control (Python Systems) at UBS Investment Bank

August 1, 2018 - July 1, 2020

Deployed Python-based automation and analytics components across multiple compliance monitoring processes, reducing identified conduct-risk incidents by ~17%. Developed data ingestion, feature engineering, and analytics pipelines; partnered with engineering teams to productize analytics logic, improving turnaround time by ~40%.

Data Scientist, Consumer Bank, BIU at Kotak Mahindra Bank Ltd

June 1, 2017 - June 1, 2018

Built ML-driven customer segmentation and propensity models over large transactional datasets, improving retention by ~6% and increasing digital conversions through targeted analytics.